In March 2026 a self‑propagating JavaScript worm exploited MediaWiki's user‑script feature to modify common.js files across multiple Wikimedia projects, vandalizing pages, inserting malicious redirects, and highlighting the security risks of user‑generated code on collaborative platforms.
Wikipedia, one of the world’s most visited sites with over 63 million articles, sustains its massive operation through modest user donations, a nonprofit foundation, and a volunteer‑driven open‑editing model that balances low transaction costs with marginal contributions to achieve remarkable growth and accuracy.
This article walks through building a large‑scale semantic search system on the English Wikipedia using the Weaviate vector database, GraphQL queries, and pre‑trained Sentence‑BERT and BERT Q&A models, covering dataset preparation, schema design, import pipelines, query examples, and production deployment strategies.
This guide walks you through creating a client‑side static Wikipedia by downloading a dump, converting it to a SQLite database compiled to WebAssembly, and building a JavaScript front‑end that can be deployed on any static‑file host.
This article demonstrates how to employ Pandas' read_html function to quickly fetch, parse, and analyze the Wikipedia table of the world's richest billionaires, covering basic usage, ranking by net worth, selective column extraction, and advanced parameter options.
